| 基于非线性 PCA的微气体传感器阵列信号处理 |
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| 引用本文： | 魏广芬,唐祯安,余隽,陈正豪,王立鼎. 基于非线性 PCA的微气体传感器阵列信号处理[J]. 功能材料与器件学报, 2005, 11(1): 122-126 |
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| 作者姓名： | 魏广芬 唐祯安 余隽 陈正豪 王立鼎 |
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| 作者单位： | 大连理工大学微系统中心,大连,116024;香港科技大学电机与电子工程系,香港 |
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| 基金项目： | 国家自然科学基金 (59995550- 5,90207003),S863(2003AA404180)和香港 RGC HKUST6065/99E,HIA98/99EG06 |
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| 摘 要： | 在线性叠加模型基础上提出了气体传感器对混合气体的非线性叠加模型，并引入了非线性主成分分析(Nonlinear Principal Component Analysis，NLPCA)法对微传感器阵列的信号进行处理。使用该模型对由4个微热板式气体传感器组成的阵列的信号进行了分析，对照基于线性叠加模型的主成分分析法(Principal Component Analysis，PCA)的识别结果，说明该方法能够提高对混合气体识别和量化的准确度。
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| 关 键 词： | 气体传感器阵列 混合气体分析 非线性主成分分析法 |
| 文章编号： | 1007-4252(2005)01-0122-05 |
| 修稿时间： | 2004-04-12 |
Nonlinear PCA based micro gas sensor array signal processing |
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| WEI Guang-fen,TANG Zhen-an,YU Jun,CHAN Philip C H,WANG Li-ding. Nonlinear PCA based micro gas sensor array signal processing[J]. Journal of Functional Materials and Devices, 2005, 11(1): 122-126 |
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| Authors: | WEI Guang-fen TANG Zhen-an YU Jun CHAN Philip C H WANG Li-ding |
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| Affiliation: | WEI Guang-fen 1,TANG Zhen-an 1,YU Jun 1,CHAN Philip C H2,WANG Li-ding 1 |
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| Abstract: | A nonlinear superposition model was proposed based on the common linear additive model the micro gas sensor array signal processing to improve the precision of quantification and identification. According to the nonlinear model, the Nonlinear Principal Component Analysis (NLPCA) was proposed to process the response signals obtained from a 4 Micro-hotplate (MHP) based gas sensor array. Com-pared with the analyzing results obtained from Principal Component Analysis (PCA), which bases onthe linear additive model, the accuracy of gas component identification and concentration quantification are improved greatly. |
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| Keywords: | gas sensor array gas mixture analysis nonlinear principal component analysis |
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